PERSONALIZABLE DIRECTORIES: A CASE STUDY IN AUTOMATIC USER MODELLING

Simple item page
dc.contributor.authorWitten, Ian H.eng
dc.contributor.authorGreenberg, Sauleng
dc.contributor.authorCleary, Johneng
dc.date.accessioned2008-02-27T22:24:31Z
dc.date.available2008-02-27T22:24:31Z
dc.date.computerscience1999-05-27eng
dc.date.issued1983-03-01eng
dc.description.abstractA personalized directory system is presented which demonstrates how automatic user modelling can reduce the average number of menu-based selections needed to retrieve entries from a large ordered list, such as a telephone directory. It offers a simple case study for pilot human factor experiments in automatic user modelling; it affords the possibility of a device independent menu-selection system; in automatic user modelling are raised, such as the user's perception of a dynamic system, the need of user control and the measurement of user satisfaction. The personalized directory system is being used as a test-bed to examine such issues, and will refine our insight into the human factors implications of user modelling.eng
dc.description.notesWe are currently acquiring citations for the work deposited into this collection. We recognize the distribution rights of this item may have been assigned to another entity, other than the author(s) of the work.If you can provide the citation for this work or you think you own the distribution rights to this work please contact the Institutional Repository Administrator at digitize@ucalgary.caeng
dc.identifier.department1983-118-7eng
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/31182
dc.identifier.urihttp://hdl.handle.net/1880/46123
dc.language.isoEngeng
dc.publisher.corporateUniversity of Calgaryeng
dc.publisher.facultyScienceeng
dc.subjectComputer Scienceeng
dc.titlePERSONALIZABLE DIRECTORIES: A CASE STUDY IN AUTOMATIC USER MODELLINGeng
dc.typeunknown
thesis.degree.disciplineComputer Scienceeng
Files
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
1.86 KB
Format:
Plain Text
Description:
Download
Collections
Science Research & Publications